AI DevOps Lead Engineer

• 4+ years of experience in a DevOps, SRE, or Cloud Engineering role.
• Deep knowledge of Linux/UNIX operating systems.
• Production experience with GCP and/or Azure, including management of clusters (GKE, AKS).
• Strong proficiency with Infrastructure as Code using Terraform.
• Proven experience with CI/CD pipeline development using Jenkins.
• Scripting and automation skills in Python and/or Bash.

Nice to have:

• Experience with monitoring tools like Prometheus, Grafana, and Loki.
• Familiarity with container management using Docker.
• Knowledge of additional cloud services and platforms.

• Design, build, and manage core infrastructure on Azure using IaC principles.
• Administer and enhance GKE and AKS clusters, ensuring security, scalability, and resilience.
• Evolve Jenkins pipelines and developer tooling for improved automation and efficiency.
• Implement security controls and automate vulnerabilities remediation.
• Develop a robust monitoring and alerting framework for operational visibility.
• Implement security gateways for improved governance.

Candidates can work remotely or on-site, depending on personal preferences; flexibility in schedule is provided.